AI Architect

Career Connect; Philippines; Hybrid; PHP 1,800,000 - 3,000,000; Full time

Job summary

Career Connect in the Philippines seeks a senior AI Architect to design and architect end-to-end AI solutions spanning traditional ML, generative AI, and agentic AI systems.

You will engage with clients as a trusted technical advisor, lead solution workshops, mentor teams, and drive delivery of high-quality AI solutions on time and within scope while translating complex concepts into business value.

Qualifications

• 8+ years of AI/ML engineering and architecture experience.
• Proven track record delivering ML models in production.
• Deep expertise in traditional ML and GenAI tech (LLMs, RAG, prompt engineering).
• Hands-on agentic AI systems and multi-agent architectures.
• Strong Python programming and ML framework experience.
• Ability to design GenAI evaluation frameworks and metrics.
• Excellent communication and project management skills.

Responsibilities

• Design and architect end-to-end AI solutions spanning ML, GenAI, and agentic AI systems.
• Define GenAI design patterns and evaluate tradeoffs (RAG vs fine-tuning, prompts, agents).
• Lead client engagements and translate technical concepts into business value.
• Drive solution workshops and pre-sales presentations with execs and teams.
• Mentor teams on AI best practices, patterns, and implementation approaches.
• Contribute to architecture and code when needed and build PoCs.
• Manage delivery timelines and mitigate project risks.

Skills

8+ years AI/ML engineering

GenAI expertise

Agentic AI systems

Python & ML frameworks

GenAI evaluation methods

Communication to execs

Project management

Education

Advanced degree in CS/AI/ML

Tools

SCikit-learn

PyTorch

TensorFlow

LangChain

LlamaIndex

Job description

• Design and architect end-to-end AI solutions spanning traditional ML, generative AI, and Agentic AI systems
• Evaluate and select appropriate design patterns for GenAI implementations, clearly articulating tradeoffs between approaches (RAG vs fine-tuning, prompt engineering strategies, agent orchestration patterns, etc.)
• Define and implement comprehensive evaluation frameworks for GenAI systems, including quality metrics, performance benchmarks, and responsible AI considerations
• Stay current with emerging AI/ML developments and assess their practical applicability to client environments

Client Engagement & Stakeholder Management

• Serve as trusted technical advisor to clients, translating complex AI concepts into business value
• Lead solution workshops and technical pre-sales presentations with C-level executives and technical teams
• Build and maintain strong client relationships through confident communication and delivery excellence
• Bridge the gap between cutting-edge AI capabilities and pragmatic, implementable solutions
• Drive technical teams to deliver high-quality AI solutions on time and within scope
• Provide hands-on technical guidance and code reviews, leading by example
• Manage delivery timelines and proactively identify and mitigate risks
• Mentor team members on AI best practices, design patterns, and implementation approaches

Hands-On Development

• Contribute directly to architecture and code implementation when needed
• Build proof-of-concepts and prototypes to validate technical approaches
• Debug complex technical issues across the AI stack
• Ensure code quality, scalability, and maintainability standards

Requirements

Required Qualifications

• 8+ years of experience in AI/ML engineering and architecture
• Proven track record of implementing ML models in commercial production environments
• Deep expertise in traditional machine learning (supervised/unsupervisedlearning, feature engineering, model optimization)
• Significant experience with Generative AI technologies (LLMs, prompt engineering, RAG, fine-tuning, vector databases)
• Hands-on experience building agentic AI systems and multi-agent architectures
• Strong programming skills in Python and relevant ML/AI frameworks (SKlearn, XGBoost, PyTorch, TensorFlow, LangChain, LlamaIndex, etc.)
• Demonstrated ability to design and implement GenAI evaluation
• Excellent communication skills with ability to present complex technical topics clearly to both technical and non-technical audiences
• Strong project management capabilities with history of delivering complex projects on schedule

Preferred Qualifications

• Experience with enterprise AI platform development and MLOps practices
• Knowledge of AI governance frameworks and responsible AI practices
• Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services
• Experience with real-time AI systems and low-latency architectures
• Background in telecommunications, financial services, or other regulated industries
• Advanced degree in Computer Science, AI/ML, or related technical field

Technical Excellence

• Expert understanding of GenAI design pattern tradeoffs (RAG architectures, agent frameworks, tool use, memory systems)
• Proficiency in GenAI evaluation methodologies (automated metrics, LLM-as-judge, human evaluation)
• Strong foundation in traditional ML fundamentals and deployment patterns
• Ability to drive teams toward concrete deliverables while maintaining quality standards
• Experience managing multiple stakeholders and competing priorities
• Track record of delivering complex technical projects in client environments
• Confident, clear communication style suitable for executive engagement
• Ability to build credibility quickly with technical and business stakeholders
• Skill in translating technical complexity into actionable business insights
• Continuous learning orientation with pulse on latest AI developments
• Pragmatic decision-making that balances innovation with implementability
• Client-centric mindset focused on delivering measurable business value
• Comfortable with ambiguity and able to structure unstructured problems

Work Set-Up: Hybrid in BGC (1-2x a week RTO or as needed)